I have used the tiff format for looking at pyramidal (tiled) 2-D images that help deal with the not being able to hold all of the data in memory at the same time, is there an equivalent or similar way to deal with really large image Volumes or collections of image volumes?
I supposed the easiest thing would be to bisect the image and only look at the sub image volume. I didn’t know if there is a way to do this in another fashion I have a high resolution industrial micro ct image set, and when I export it from Fiji to nrrd format it is a ‘mere’ 14Gb file.
there is a lot of the image that is hollow in the middle and isn’t relevant to the part I am interested in segmenting. What should I be looking at or looking for that can help deal with such large images sets?
Also this is just peanuts to what I want to do, which is stitch together multiple of these, although I guess I only need the stitched together segmentation and not the original images themselves.
any thoughts or opinions welcome.